曹君宇, 周浩, 高志山, 焦红虹, 李宁. 基于SURF的图像拼接过程中配准算法的改进[J]. 云南大学学报(自然科学版), 2016, 38(6): 845-852. doi: 10.7540/j.ynu.20160226
引用本文: 曹君宇, 周浩, 高志山, 焦红虹, 李宁. 基于SURF的图像拼接过程中配准算法的改进[J]. 云南大学学报(自然科学版), 2016, 38(6): 845-852. doi: 10.7540/j.ynu.20160226
CAO Jun-yu, ZHOU Hao, GAO Zhi-shan, JIAO Hong-hong, LI Ning. The improvement of registration algorithm in the process of image stitching based on SURF[J]. Journal of Yunnan University: Natural Sciences Edition, 2016, 38(6): 845-852. DOI: 10.7540/j.ynu.20160226
Citation: CAO Jun-yu, ZHOU Hao, GAO Zhi-shan, JIAO Hong-hong, LI Ning. The improvement of registration algorithm in the process of image stitching based on SURF[J]. Journal of Yunnan University: Natural Sciences Edition, 2016, 38(6): 845-852. DOI: 10.7540/j.ynu.20160226

基于SURF的图像拼接过程中配准算法的改进

The improvement of registration algorithm in the process of image stitching based on SURF

  • 摘要: 用SURF算法检测特征点进行图像拼接过程中,仅仅利用特征描述符进行图像配准时误匹配的概率很高.通常对视频图像进行拼接时,待拼接图像间的变化不会太大,所以图像中对应点主方向角和尺度因子相差不大,用这2种特征信息对待匹配特征点进行初筛,然后再取特征描述符之间的欧氏距离最小的点为正确匹配点,实现了多特征融合匹配,增加了匹配的正确率,提高了图像拼接的成功率.

     

    Abstract: The algorithm that uses SURF algorithm to detect feature points in the process of image matching only uses feature descriptor for image registration with a high probability of mismatch.Usually carried out on the video image stitching,stitching image change is not too big,so is the image corresponding points in the main direction angle and scale factor.This article uses this two characteristics for screening and then take feature descriptor minimum Euclidean distance between points for the correct matching points,achieves multi-feature fusion matching,Increases the matching accuracy,and improves the accuracy of image stitching.

     

/

返回文章
返回